A randomized parallel branch-and-bound procedure

  • Authors:
  • Richard Karp;Yanjun Zhang

  • Affiliations:
  • Computer Science Division, Univesity of California, Berkeley, CA;Computer Science Division, Univesity of California, Berkeley, CA

  • Venue:
  • STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
  • Year:
  • 1988

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Abstract

We present a universal randomized method called Local Best-First Search for parallelizing sequential branch-and-bound algorithms. The method executes on a message-passing multiprocessor system, and requires no global data structures or complex communication protocols. We show that, uniformly on all instances, the execution time of the method is unlikely to exceed a certain inherent lower bound by more than a constant factor.